Build catalog-scale listing quality systems at Faire using machine learning, LLMs, and production engineering. This hybrid role supports measurable retailer impact.

As a Senior Product Engineer, you will turn model-generated enhancements into reliable product experiences across millions of listings. You will partner with Brand Data Science while owning production delivery, experimentation, and maintainability. The work spans backend services, data pipelines, computer vision outputs, and product judgment.

Key Responsibilities

Build backend services moving model enhancements into live products

Design dependable catalog-scale generation infrastructure and monitoring

Create contracts, auditing tools, and evaluation hooks

Ship experiment-flagged changes and manage launch readiness

Mentor engineers on technical and product judgment

Requirements

Five or more years of experience

Comfort with agentic coding tools

Familiarity with HTML, CSS, TypeScript, React, and Next.js

Experience operating Airflow or similar data pipelines

Understanding of production ML or LLM outputs

Use product engineering, experimentation, and machine learning judgment to improve Faire listings reliably at catalog scale.

📌 Senior Product Engineer Listing Quality (Winnipeg)
🏢 Faire Wholesale
📍 Winnipeg